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Atlassian Data Lake overview

Data from your Atlassian products in a single, queryable system - enriched and ready for analysis.

Data lake illustration

Atlassian Data Lake for Cloud Enterprise

Atlassian Data Lake is available for Cloud Enterprise customers of Jira Software, Jira Service Management, or Confluence.

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What is the Atlassian Data Lake?

The Atlassian Data Lake includes data from your cloud products in a single queryable place with modeled and enriched fields that are ready for analysis. 

With the Atlassian Data Lake you can:

  • Directly connect data from the Atlassian Data Lake to dashboards in Atlassian Analytics
  • Access prepared and transformed data directly through queries
  • Combine data sets across your Atlassian products and other SaaS products you use by connecting to external data sources in Atlassian Analytics

 

Analyze data from key Atlassian Cloud 
products:

  • Jira Software
  • Jira Service Management (including Assets)
  • Confluence
  • Jira Work Management
  • Opsgenie

 

The Atlassian Data Lake is built on our trusted Atlassian platform with data privacy and security in mind.

Why use the Atlassian Data Lake?

With Atlassian Data Lake you gain:

  • Comprehensive insights across your toolchain with easy access to data across your Atlassian products and instances
  • Pre-modeled and enriched data fields - eliminating the need for manual and complex data modeling processes
  • Access to data in your BI tool of choice with data export functionality   Coming soon

How Atlassian Data Lake works

Connecting to Atlassian data

You can access the Atlassian Data Lake through the Atlassian Analytics interface. As an organization admin, you can set up multiple data connections to meet the needs of different teams.

Access data from Jira Software, Jira Work Management, Jira Service Management (including Assets), Opsgenie, and Confluence, with more products available soon!

To learn more about upcoming product releases, check out our Cloud Roadmap.

A diagram shows how data from Atlassian products is stored in Atlassian Data Lake and connects to Atlassian Analytics.

Connecting external data sources

If you have any Atlassian products with a Cloud Enterprise plan, you can also connect to data sources outside Atlassian and blend your Atlassian data with external data sources for richer insights. Compare development and IT metrics with important business data, including revenue, user experience, resource allocation, financial projects, and more!

A screenshot shows how you can connect Atlassian data to databases outside of Atlassian.

Database connector preview screen

Enhanced data access and permissions

Control what data sets you want to include or exclude for analysis. Configure whether to include all data or only limited data to exclude sensitive information.

Including all data gives you access to more detailed, human-readable content and dashboard templates with more robust information for your analysis needs.

Examples of detailed content Examples of descriptive data
  • issue summaries
  • page titles
  • descriptions
  • attachments
  • created dates
  • issue numbers
  • issue type ID
  • project ID

Read more about the options for data scope.

A screenshot shows how users can select all data or limited data from Atlassian Data Lake when connecting to Atlassian Analytics.

Data scope selection screen

Permissions also include access to which users and teams can query data. You can give anyone who has access to both an Enterprise product and Atlassian Analytics the ability to query data or restrict this capability to specific users.

A screenshot shows the ability to restrict queries and apply user permissions for accessing data sources.

Data source access screen

The Atlassian Data Lake follows Atlassian's security guidelines to ensure your data is safe with us.

Atlassian Analytics

Learn more about visualizing data across your Atlassian toolchain for holistic insights.

Ready to get started or just have questions?

Discuss Cloud Enterprise plans for access to the Atlassian Data Lake